Central and non-central limit theorems in a free probability setting
Ivan Nourdin (IECN), Murad Taqqu

TL;DR
This paper explores non-central limit theorems within free probability, demonstrating that certain free probability time series converge to limits involving non-commutative processes like free fractional Brownian motion.
Contribution
It introduces free probability analogs of classical long-range dependence results, replacing Hermite processes with non-commutative Tchebycheff processes and analyzing their limit behaviors.
Findings
Limits are represented by multiple Wigner integrals.
Non-commutative fractional Brownian motion is characterized.
Non-commutative Rosenblatt process is analyzed.
Abstract
Long-range dependence in time series may yield non-central limit theorems. We show that there are analogous time series in free probability with limits represented by multiple Wigner integrals, where Hermite processes are replaced by non-commutative Tchebycheff processes. This includes the non-commutative fractional Brownian motion and the non-commutative Rosenblatt process.
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Taxonomy
TopicsRandom Matrices and Applications · Stochastic processes and statistical mechanics · Financial Risk and Volatility Modeling
